Haseko and Tektome Launch AI Training Program to Advance Self-Driven Digital Transformation

For Tektome, a Tokyo-based AI startup, the partnership with Haseko serves as a key case study in its mission to be the “AI copilot” for architecture and construction. Its platform, tailored for ...

Craters & Freighters Transforms Hazmat Shipping Operations with DGIS Software to Support Compliance Across 30+ Locations

Craters & Freighters strengthens compliant dangerous goods shipping across 30+ locations using DGIS software to ...

GWEIKE Introduces M Series 6-in-1 System Combining Cutting, Welding, Cleaning, and More in One Platform

GWEIKE M Series integrates six laser functions in one platform, helping shops reduce equipment footprint and simplify ...

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Security Boulevard

How to Implement Multi-User Testing in DAST: Real-World Examples

Discover how to test for multi-user vulnerabilities. Four real-world examples of tenant isolation, consolidated testing, and ...
Le Lézard

Optrua and Advantage Design Group Announce CRM Modernization Initiative Driving 80% Increase in Lead Capture

Optrua, a Microsoft Dynamics 365 CRM and Power Platform consulting firm, and Advantage Design Group (ADG), a provider of recruiting and orientation solutions for higher education and private-sector ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.